Applications of SLAM

Abstract

Simultaneous Localization and Mapping (SLAM) is a framework to estimate sensor position and point clouds simultaneously in unknown environments. This article first describes data processing flows and open sources for autonomous robots and surveying. Next, this article briefly describes examples of SLAM applications such as a lunar rover and water-borne MMS. Moreover, this article describes the technical issues and future works of the SLAM.